157-0374/01 – Quantitative Methods (KM)

Gurantor departmentDepartment of Systems EngineeringCredits5
Subject guarantorprof. Ing. Jana Hančlová, CSc.Subject version guarantorprof. Ing. Jana Hančlová, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semestersummer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
VRA31 Ing. Blanka Bazsová, Ph.D.
CHY0034 Mgr. Ing. Lucie Chytilová, Ph.D.
CIZ0061 Ing. Andrea Čížků, Ph.D.
HAN60 prof. Ing. Jana Hančlová, CSc.
NEM191 Ing. Radek Němec, Ph.D.
SVA0158 Ing. Miloš Švaňa
ZAP149 doc. Mgr. Ing. František Zapletal, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

The aim of the course is methodological knowledge as systemic application of discipline, especially in the areas of linear programming, structural analysis and network analysis. The application of selected quantitative methods reinforces students' logical and systemic skills in solving decision-making problems in economic systems.

Teaching methods

Lectures
Tutorials
Other activities

Summary

1. Operation research as a systemic basis for quantitative decision making. Development and systemic features of operation research. Process of economic-mathematical modeling. Classification of operation research methods, usability in solving economic problems. 2. Introduction to linear programming (LP) + general solution of optimization problem + parts of mathematical model + set of possible solutions + possible number of solution of LP + different types of LP. 3. Graphical solution of LP problem - general procedure, limitations for using graphical solution, possible sets of acceptable solutions, consequences of limitation of the equation in models, sensitivity analysis of optimum in graphical solution, possible solutions of LP problems. 4. Canonical form of LP problem, simplex table, algorithm of solution for single-phase and two-phase simplex method, individual steps of simplex method, interpretation of simplex tables. 5. Duality of LP problem - the importance of duality, basic theorems on duality, symmetric and asymmetric dual models, shadow prices and their use for sensitivity analysis, solution stability intervals. 6. Transport problems - specification of traffic problems, classification of traffic problems, searching for acceptable solution (VAM, MSR, IM), search for optimal solution - MODI. 7. Multicriterial linear programming - motivation and application, solution dominance, aggregation of purpose functions according to defined weights, tasks with compromise solution. 8. Introduction to network analysis (SA) and graph theory - embedding in the framework of project management, target and possibility of application, classification and definition of network analysis methods, project specification and network graph creation, fictional edges. 9. CPM - time analysis in network graph, types of reserves and their importance, critical path and its analysis, percentage of criticality and possibilities of use from the perspective of risk management, project criticism, linear diagram, analysis of project resources. 10. PERT method - stochastic time analysis, density of activity duration distribution and mean and variability characteristics, density distribution of the earliest possible end date of the whole project and corresponding characteristics, typical problem of using PERT method.

Compulsory literature:

HILLIER, Frederick S. a Gerald J. LIEBERMAN. Introduction to operations research. 5th ed. New York: McGraw-Hill, c1990. ISBN 0-07-909758-8. WISNIEWSKI, Mik. Quantitative methods for decision makers. 5th ed. Harlow: Financial Times Prentice Hall, 2009. ISBN 978-0-273-71207-7. TAHA, Hamdy A. Operations research: an introduction. 9th ed., international ed. Upper Saddle River: Pearson, c2011. ISBN 978-0-13-139199-4.

Recommended literature:

RUSZCZYŃSKI, Andrzej P. Nonlinear optimization. Princeton: Princeton University Press, c2006. ISBN 0-691-11915-5. RAMÓN, J. and S. C. MATEO. Management Science, Operations Research and Project Management Modelling, Evaluation, Schceduling, Monitoring. London: Taylor and Francis, 2016. RAVINDRAN, A. Operations research and management science handbook. Boca Raton: CRC Press, 2008.

Way of continuous check of knowledge in the course of semester

Condition for passing: - credit tests: LP - Linear Programming, SA - Network Analysis, STA - STructural Analysis. - for the exam, a written test in LMS Moodle and a possible oral examination.

E-learning

Other requirements

Condition for passing: - 60% participation in exercises - successful completion of individual tests at given dates (LP, STA, SA) - at least 23 points: LP - Linear Programming, SA - Network Analysis, STA - STructural Analysis. - at least 28 points for successful exam.

Prerequisities

Subject codeAbbreviationTitleRequirement
151-0300 Mat A Mathematics A Compulsory

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Operation research as a systemic basis for quantitative decision making. Development and systemic features of operation research. Process of economic-mathematical modeling. Classification of operation research methods, usability in solving economic problems. 2. Introduction to linear programming (LP) + general solution of optimization problem + parts of mathematical model + set of possible solutions + possible number of solution of LP + different types of LP. 3. Graphical solution of LP problem - general procedure, limitations for using graphical solution, possible sets of acceptable solutions, consequences of limitation of the equation in models, sensitivity analysis of optimum in graphical solution, possible solutions of LP problems. 4. Canonical form of LP problem, simplex table, algorithm of solution for single-phase and two-phase simplex method, individual steps of simplex method, interpretation of simplex tables. 5. Duality of LP problem - the importance of duality, basic theorems on duality, symmetric and asymmetric dual models, shadow prices and their use for sensitivity analysis, solution stability intervals. 6. Transport problems - specification of traffic problems, classification of traffic problems, searching for acceptable solution (VAM, MSR, IM), search for optimal solution - MODI. 7. Multicriterial linear programming - motivation and application, solution dominance, aggregation of purpose functions according to defined weights, tasks with compromise solution. 8. Introduction to network analysis (SA) and graph theory - embedding in the framework of project management, target and possibility of application, classification and definition of network analysis methods, project specification and network graph creation, fictional edges. 9. CPM - time analysis in network graph, types of reserves and their importance, critical path and its analysis, percentage of criticality and possibilities of use from the perspective of risk management, project criticism, linear diagram, analysis of project resources. 10. PERT method - stochastic time analysis, density of activity duration distribution and mean and variability characteristics, density distribution of the earliest possible end date of the whole project and corresponding characteristics, typical problem of using PERT method.

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

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2019/2020 (B0413A050012) Economics and Management (S03) Management P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S05) Sports management P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0312A050001) Public Economics and Administration P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0311A050004) Applied Economics (S01) International Economic Relations P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S04) Economics and Law in Business P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0414A050001) Marketing (S02) Marketing and business P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0414A050001) Marketing (S01) Marketing Communication P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S02) Business Administration P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S02) Business Administration P Czech Valašské Meziříčí 2 Compulsory study plan
2019/2020 (B0412A050005) Finance P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0411A050001) Accounting and Taxes P Czech Ostrava 2 Compulsory study plan
2019/2020 (B0311A050004) Applied Economics (S02) Economic Development P Czech Ostrava 3 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner